US 12,288,327 B2
Image-driven brain atlas construction method, apparatus, device and storage medium
Shuqiang Wang, Guangdong (CN); Qiankun Zuo, Guangdong (CN); and Min Gan, Guangdong (CN)
Assigned to SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY, Guangdong (CN)
Appl. No. 17/764,446
Filed by SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY, Guangdong (CN)
PCT Filed Feb. 3, 2021, PCT No. PCT/CN2021/075096
§ 371(c)(1), (2) Date Mar. 28, 2022,
PCT Pub. No. WO2022/147871, PCT Pub. Date Jul. 14, 2022.
Claims priority of application No. 202110026756.3 (CN), filed on Jan. 9, 2021.
Prior Publication US 2023/0342918 A1, Oct. 26, 2023
Int. Cl. G06T 7/00 (2017.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G16H 50/20 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An image-driven brain atlas construction method, comprising:
acquiring multi-modal data of a brain to be predicted, wherein the multi-modal data is acquired according to image data collected when the brain is under at least three different modalities;
inputting the multi-modal data into a preset fusion network for processing to output and acquire feature parameters of the brain; wherein the processing of the multi-modal data by the fusion network comprises: extracting a non-Euclidean spacial feature and an Euclidean spacial feature of the multi-modal data, and performing hypergraph fusion on the non-Euclidean spacial feature and the Euclidean spacial feature to acquire the feature parameters, wherein the feature parameters are used to characterize a brain connection matrix and/or a disease category of the brain.